Diets, nutrients, genes and the microbiome: Recent advances in personalised nutrition

Research output: Contribution to journalReviewResearchpeer-review

  • Nathan Matusheski
  • Aoife Caffrey
  • Lars Christensen
  • Simon Mezgec
  • Shelini Surendran
  • Hjorth, Mads Fiil
  • Helene McNulty
  • Kristina Pentieva
  • Roager, Henrik Munch
  • Barbara Koroušić Seljak
  • Karani Santhanakrishnan Vimaleswaran
  • Marcus Remmers
  • Szabolcs Peter

As individuals seek increasingly individualised nutrition and lifestyle guidance, numerous apps and nutrition programs have emerged. However, complex individual variations in dietary behaviours, genotypes, gene expression and composition of the microbiome are increasingly recognised. Advances in digital tools and artificial intelligence can help individuals more easily track nutrient intakes and identify nutritional gaps. However, the influence of these nutrients on health outcomes can vary widely among individuals depending upon life stage, genetics and microbial composition. For example, folate may elicit favourable epigenetic effects on brain development during a critical developmental time window of pregnancy. Genes affecting vitamin B12 metabolism may lead to cardiometabolic traits that play an essential role in the context of obesity. Finally, an individual's gut microbial composition can determine their response to dietary fibre interventions during weight loss. These recent advances in understanding can lead to a more complete and integrated approach to promoting optimal health through personalised nutrition, in clinical practise settings and for individuals in their daily lives. The purpose of this review is to summarise presentations made during the DSM Science and Technology Award Symposium at the 13th European Nutrition Conference, which focused on personalised nutrition and novel technologies for health in the modern world.

Original languageEnglish
JournalBritish Journal of Nutrition
ISSN0007-1145
DOIs
Publication statusE-pub ahead of print - 29 Jan 2021

    Research areas

  • Faculty of Science - Personalised nutrition, Automated food image recognition, Deep learning, Cognition, Epigenetics, Folate, Pregnancy, Genetics, Vitamin B12, Cardiometabolic disease, Obesity, Enterotype, Prevotella, Bacteroides

ID: 256160926